A novel approach of fast and adaptive bidimensional empirical mode decomposition

Bidimensional empirical mode decomposition (BEMD) techniques are associated with high computation time and other artifacts because of the application of two dimensional (2D) scattered data interpolation methods. In this paper, order statistics filters are employed to get the upper and lower envelope...

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Main Authors: Bhuiyan, S.M.A., Adhami, R.R., Khan, J.F.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Bidimensional empirical mode decomposition (BEMD)
Computational modeling
Data analysis
envelope estimation
Filters
Interpolation
order-statistics filter
Scattering
Signal processing
Statistics
Time frequency analysis
Time sharing computer systems
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Adhami, R.R.
Khan, J.F.
description Bidimensional empirical mode decomposition (BEMD) techniques are associated with high computation time and other artifacts because of the application of two dimensional (2D) scattered data interpolation methods. In this paper, order statistics filters are employed to get the upper and lower envelopes in the BEMD process, instead of the surface interpolation. Based on the achieved characteristics of the proposed approach, it is considered as fast and adaptive BEMD (FABEMD). Simulation results demonstrate that besides reducing the computation time, FABEMD outperforms the original BEMD in terms of the quality in some cases.
doi_str_mv 10.1109/ICASSP.2008.4517859
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subjects Application software
Bidimensional empirical mode decomposition (BEMD)
Computational modeling
Data analysis
envelope estimation
Filters
Interpolation
order-statistics filter
Scattering
Signal processing
Statistics
Time frequency analysis
Time sharing computer systems
title A novel approach of fast and adaptive bidimensional empirical mode decomposition
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